Companies are still struggling with the same data challenges that emerged during the Big Data era. Despite AI’s huge potential, its success still depends on transforming vast, scattered, and often inconsistent data sources – such as spreadsheets, CRM, ERP, and real-time systems – into unified, AI-ready formats. According to Gartner, it may take another two to five years before most organizations can work productively with AI-ready data.
Issues like bias, inaccuracy, sensitivity, and outdated information persist. Modern data preparation tools can improve compliance and reduce bias, but maintaining reliable real-time data remains complex. Ultimately, success depends on balancing opportunities, risks, and costs when choosing data and AI platforms.